Title :
A research of listed companies´ financial early-warning system based on the Logistic Mode
Author :
Zhang, Hengquan ; Min, Xiangbo
Author_Institution :
Business School of Hohai University, Hohai University, Nanjing, China
Abstract :
In this paper, we first used principal component analysis to extract the main financial risks affecting the financial indicators based on spss17.0. And then construct the corporate Financial Early-warning Model through the use of Logistic Model. We selected a total of 60 companies as our sample of listed companies financial forecast Empirical Logistic model include 30 ST companies and 30 non-ST companies as comparison.
Keywords :
Analytical models; Biological system modeling; Companies; Logistics; Mathematical model; Predictive models; Principal component analysis; Logistic regression model; financial early-warning system; principal component analysis;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691980
